World Journal of Engineering and Technology

World Journal of Engineering and Technology

ISSN Print: 2331-4222
ISSN Online: 2331-4249
www.scirp.net/journal/wjet
E-mail: [email protected]
"Response Surface Methodology and Artificial Neural Network Methods Comparative Assessment for Fuel Rich and Fuel Lean Catalytic Combustion"
written by Tahani S. Gendy, Amal S. Zakhary, Salwa A. Ghoneim,
published by World Journal of Engineering and Technology, Vol.9 No.4, 2021
has been cited by the following article(s):
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